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license: cc-by-nc-sa-4.0 |
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# OOTDiffusion |
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[Our OOTDiffusion GitHub repository](https://github.com/levihsu/OOTDiffusion) |
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[Try out OOTDiffusion](https://ootd.ibot.cn/) |
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π€ [Hugging Face demo](https://huggingface.co/spaces/levihsu/OOTDiffusion) (Many thanks to [ZeroGPU](https://huggingface.co/zero-gpu-explorers) for providing GPUs) |
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Please give me a star if you find it interesting! |
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> **OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on** [[arXiv paper](https://arxiv.org/abs/2403.01779)]<br> |
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> [Yuhao Xu](http://levihsu.github.io/), [Tao Gu](https://github.com/T-Gu), [Weifeng Chen](https://github.com/ShineChen1024), [Chengcai Chen](https://www.researchgate.net/profile/Chengcai-Chen)<br> |
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> Xiao-i Research |
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Our model checkpoints trained on [VITON-HD](https://github.com/shadow2496/VITON-HD) (half-body) and [Dress Code](https://github.com/aimagelab/dress-code) (full-body) have been released |
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* π’π’ We support ONNX for [humanparsing](https://github.com/GoGoDuck912/Self-Correction-Human-Parsing) now. Most environmental issues should have been addressed : ) |
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* Please download [clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14) into ***checkpoints*** folder |
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* We've only tested our code and models on Linux (Ubuntu 22.04) |
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![demo](images/demo.png) |
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![workflow](images/workflow.png) |
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